At a Glance
- Tasks: Shape and deliver a modern data strategy while building scalable data pipelines.
- Company: Join an ambitious, values-led organisation focused on using data for good.
- Benefits: Competitive salary, fully remote work, and opportunities for technical growth.
- Other info: Supportive environment with real runway for ownership and leadership.
- Why this job: Make a genuine impact by turning data into actionable insights.
- Qualifications: 2+ years in data engineering with strong SQL and cloud experience.
The predicted salary is between 36000 - 60000 £ per year.
A high visibility opportunity to join an ambitious, values led organisation as it refreshes its data strategy and modernises its intelligence platform. You will be trusted early, work closely with stakeholders, and help build the foundations that drive better insight, smarter decisions, and genuine impact, using data for good.
This role is well suited to someone early in their data engineering journey, around 2+ years' experience, who is ready to step up. You will join a supportive, encouraging environment with real runway to grow technically, while gradually developing ownership and leadership as your influence across the business increases.
What you will be doing:
- Helping shape and deliver a refreshed data strategy and modern analytics platform
- Building reliable, scalable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar
- Designing and optimising core data models that are dimensional, analytics-ready, and built to last
- Creating trusted data products that enable self-service analytics across the organisation
- Improving data quality, monitoring, performance, and cost efficiency
- Partnering with analysts, BI teams, and non-technical stakeholders to turn questions into robust data assets
- Contributing to engineering standards, best practice, and reusable frameworks
- Supporting responsible AI tooling, including programmatic LLM workflows where appropriate
What you will bring:
- 2+ years' experience in data engineering within a modern data stack
- Strong SQL with a solid foundation in data modelling
- Python preferred, or similar, for pipeline development and automation
- Cloud experience across AWS, Azure, or GCP
- Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents
- Good habits around governance, security, documentation, version control (Git), and CI/CD
The kind of person who thrives here:
Confident, curious, and motivated. You care about doing things properly, enjoy being trusted and visible in the business, and are genuinely interested in using data to create positive outcomes.
Fully remote. No sponsorship, Post-Graduate Visa not supported.
Interested? Apply now.
Data Engineer - Remote in Newcastle upon Tyne employer: Datatech Analytics
Join a forward-thinking organisation that prioritises values and innovation, offering a fully remote Data Engineer role with a competitive salary of £45,000. You'll thrive in a supportive culture that encourages professional growth and collaboration, allowing you to make a meaningful impact through data while developing your skills and leadership potential in a modern cloud environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Remote in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving ELT/ETL pipelines or cloud data warehousing. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to shaping the data strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Remote in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your 2+ years in data engineering and any relevant projects you've worked on. We want to see how you can contribute to our modern data stack!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background aligns with our values. Share specific examples of how you've built reliable ELT/ETL pipelines or improved data quality in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your strong SQL skills and any experience with Python or cloud platforms like AWS or Azure. We love seeing candidates who are familiar with tools like dbt or Airflow, so make sure to include that too!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your SQL skills and be ready to discuss your experience with cloud platforms like AWS, Azure, or GCP. Being able to talk confidently about ELT/ETL processes and tools like Snowflake or Databricks will definitely impress.
✨Showcase Your Projects
Prepare to share specific examples of projects you've worked on that relate to building data pipelines or optimising data models. Highlight any challenges you faced and how you overcame them. This not only shows your technical skills but also your problem-solving abilities.
✨Understand Stakeholder Needs
Since this role involves partnering with analysts and non-technical stakeholders, be ready to discuss how you’ve previously translated complex data questions into actionable insights. Demonstrating your ability to communicate effectively with different teams will show you’re a great fit for their collaborative environment.
✨Emphasise Continuous Learning
This company values growth and development, so express your eagerness to learn and adapt. Talk about any recent courses, certifications, or personal projects that showcase your commitment to improving your skills in data engineering and responsible AI tooling.
